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Video-based Person Re-identification with Accumulative Motion Context
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Hao Liu, Zequn Jie, Jayashree Karlekar, Meibin Qi, Jianguo Jiang, Shuicheng Yan, Jiashi Feng
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) Volume: 28 , Issue: 10 , Oct. 2018
Background: We describe the development of a new mobile app called “FootSnap,” to standardize photographs of diabetic feet and test its reliability on different occasions and between different operators. Methods: FootSnap was developed by a multidisciplinary team for use with the iPad. The plantar surface of 30 diabetic feet and 30 nondiabetic control feet were imaged using FootSnap on two separate occasions by two different operators. Reproducibility of foot images was determined using the Jaccard similarity index (JSI). Results: High intra- and interoperator reliability was demonstrated with JSI values of 0.89-0.91 for diabetic feet and 0.93- 0.94 for control feet. Conclusions: Similarly high reliability between groups
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